Subspace Clustering Based Class Level Software Fault Prediction Using Symbiotic Particle Swarm Optimization and Ensemble Extreme Learning Machine

Sumangalapatil; A NagarajaRao; C Shobabindu

doi:10.1166/jctn.2019.7872

Subspace Clustering Based Class Level Software Fault Prediction Using Symbiotic Particle Swarm Optimization and Ensemble Extreme Learning Machine

Journal of Computational and Theoretical Nanoscience ◽

10.1166/jctn.2019.7872 ◽

2019 ◽

Vol 16 (5) ◽

pp. 2196-2203 ◽

Cited By ~ 1

Author(s):

Sumangalapatil ◽

A NagarajaRao ◽

C Shobabindu

Keyword(s):

Particle Swarm Optimization ◽

Extreme Learning Machine ◽

Particle Swarm ◽

Subspace Clustering ◽

Fault Prediction ◽

Swarm Optimization ◽

Software Fault Prediction ◽

Class Level ◽

Software Fault ◽

Learning Machine

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Software Fault Prediction Model Based on Adaptive Dynamical and Median Particle Swarm Optimization

2010 Second International Conference on Multimedia and Information Technology ◽

10.1109/mmit.2010.11 ◽

2010 ◽

Cited By ~ 5

Author(s):

Cong Jin ◽

En-Mei Dong ◽

Li-Na Qin

Keyword(s):

Particle Swarm Optimization ◽

Prediction Model ◽

Particle Swarm ◽

Fault Prediction ◽

Swarm Optimization ◽

Software Fault Prediction ◽

Model Based ◽

Median Particle ◽

Software Fault

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A delay prediction model for high-speed railway: an extreme learning machine tuned via particle swarm optimization

2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) ◽

10.1109/itsc45102.2020.9294457 ◽

2020 ◽

Author(s):

Yanqiu Li ◽

Xinyue Xu ◽

Jianmin Li ◽

Rui Shi

Keyword(s):

Particle Swarm Optimization ◽

Prediction Model ◽

Extreme Learning Machine ◽

High Speed ◽

Particle Swarm ◽

Swarm Optimization ◽

High Speed Railway ◽

Learning Machine ◽

Delay Prediction

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Soft-sensor for Mother Liquor Purity in The Industrial Cane Sugar Crystallization Based on Extreme Learning Machine and Particle Swarm Optimization

International Journal of Control and Automation ◽

10.14257/ijca.2014.7.7.33 ◽

2014 ◽

Vol 7 (7) ◽

Author(s):

Yanmei Meng ◽

Haifeng Pang ◽

Jian Chen ◽

Zhihong Tang ◽

Xiaochun Wang

Keyword(s):

Particle Swarm Optimization ◽

Extreme Learning Machine ◽

Mother Liquor ◽

Particle Swarm ◽

Cane Sugar ◽

Soft Sensor ◽

Swarm Optimization ◽

Learning Machine

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B-cell epitope prediction using Extreme Learning Machine and Particle Swarm Optimization-based undersampling

2017 Artificial Intelligence and Robotics (IRANOPEN) ◽

10.1109/rios.2017.7956440 ◽

2017 ◽

Cited By ~ 1

Author(s):

Maral Arvanaghi Jadid ◽

Mahnaz Habibi

Keyword(s):

Particle Swarm Optimization ◽

B Cell ◽

Extreme Learning Machine ◽

Cell Epitope ◽

Particle Swarm ◽

Epitope Prediction ◽

Swarm Optimization ◽

B Cell Epitope ◽

Learning Machine

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Classification of Rubber Vulcanizing Accelerators Based on Particle Swarm Optimization Extreme Learning Machine and Terahertz Spectra

Journal of Applied Spectroscopy ◽

10.1007/s10812-022-01313-9 ◽

2022 ◽

Author(s):

X. Yin ◽

W. He ◽

L. Wang ◽

W. Mo ◽

A. Li

Keyword(s):

Particle Swarm Optimization ◽

Extreme Learning Machine ◽

Particle Swarm ◽

Swarm Optimization ◽

Learning Machine

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Modelling and Prediction of Surface Roughness and Power Consumption Using Parallel Extreme Learning Machine Based Particle Swarm Optimization

Proceedings in Adaptation, Learning and Optimization - Proceedings of ELM-2014 Volume 2 ◽

10.1007/978-3-319-14066-7_31 ◽

2015 ◽

pp. 321-329 ◽

Cited By ~ 4

Author(s):

Nooraziah Ahmad ◽

Tiagrajah V. Janahiraman

Keyword(s):

Surface Roughness ◽

Particle Swarm Optimization ◽

Power Consumption ◽

Extreme Learning Machine ◽

Particle Swarm ◽

Swarm Optimization ◽

Learning Machine

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Prediction of cooling moisture content after cut tobacco drying process based on a particle swarm optimization-extreme learning machine algorithm

Mathematical Biosciences and Engineering ◽

10.3934/mbe.2021127 ◽

2021 ◽

Vol 18 (3) ◽

pp. 2496-2507

Author(s):

Ming Zhu ◽

◽

Kai Wu ◽

Yuanzhen Zhou ◽

Zeyu Wang ◽

...

Keyword(s):

Particle Swarm Optimization ◽

Moisture Content ◽

Extreme Learning Machine ◽

Particle Swarm ◽

Drying Process ◽

Swarm Optimization ◽

Learning Machine ◽

Cut Tobacco

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A Prediction Method for Deck Motion of Aircraft Carrier Based on Particle Swarm Optimization and Kernel Extreme Learning Machine

Sensors and Materials ◽

10.18494/sam.2017.1588 ◽

2017 ◽

pp. 1291

Keyword(s):

Particle Swarm Optimization ◽

Extreme Learning Machine ◽

Particle Swarm ◽

Prediction Method ◽

Aircraft Carrier ◽

Swarm Optimization ◽

Kernel Extreme Learning Machine ◽

Learning Machine

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An Improved Evolutionary Extreme Learning Machine Based on Multiobjective Particle Swarm Optimization

Intelligent Computing Methodologies - Lecture Notes in Computer Science ◽

10.1007/978-3-319-95957-3_1 ◽

2018 ◽

pp. 1-6

Author(s):

Jing Jiang ◽

Fei Han ◽

Qing-Hua Ling ◽

Ben-Yue Su

Keyword(s):

Particle Swarm Optimization ◽

Extreme Learning Machine ◽

Particle Swarm ◽

Swarm Optimization ◽

Multiobjective Particle Swarm Optimization ◽

Learning Machine

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A novel prediction intervals method integrating an error & self-feedback extreme learning machine with particle swarm optimization for energy consumption robust prediction

Energy ◽

10.1016/j.energy.2018.08.180 ◽

2018 ◽

Vol 164 ◽

pp. 137-146 ◽

Cited By ~ 10

Author(s):

Yuan Xu ◽

Mingqing Zhang ◽

Liangliang Ye ◽

Qunxiong Zhu ◽

Zhiqiang Geng ◽

...

Keyword(s):

Particle Swarm Optimization ◽

Energy Consumption ◽

Extreme Learning Machine ◽

Particle Swarm ◽

Prediction Intervals ◽

Swarm Optimization ◽

Learning Machine ◽

Robust Prediction

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